Wheeled-movement pipeline robot

Abstract

The invention discloses a wheeled-movement pipeline robot comprising a crawler, wherein the crawler comprises a closed box (17), a driving gear train and a wheel set (10, 19 and 16); a lifting cradle head (2) can be fixedly mounted on the crawler according to various requirements for the inner diameter of pipeline; a double-DOF (degree of freedom) probe (1) can be directly plugged on the lifting cradle head or the crawler according to the requirements, thus achieving the omnidirectional detection of the pipeline and improving the operating efficiency; the wheel set comprises a small wheel setand a large wheel set, one of single-side small wheels in the small wheel set (10, 19) is a driving wheel, and the large wheel set comprises a lateral bridge plate, a rapid-connection structure and alarge wheel (16); and a motor connected with the driving gear train is arranged in the closed box. The large wheel set and the lifting cradle head can be rapidly and conveniently assembled and disassembled in a screw-free manner so as to adjust the radial detection dimensions of the crawler, so that the pipeline robot is operable in pipelines with various inner diameters; the small wheel set is not required to be disassembled when the large wheel set is used, thus improving the obstacle negotiation capacity of the crawler; and based on the modular design, the invention can achieve the rapid installation of the lifting cradle head and the large wheel set according to the requirements.

Description

technical field [0001] The invention relates to a wheeled mobile pipeline robot. Background technique [0002] Since most of the urban drainage pipes are buried underground, once faults such as local damage and blockage are found, manual work is usually used to eliminate them. The traditional way of maintaining drainage pipes is to rely on maintenance personnel to enter the pipes and check the damage of the drainage pipes visually. However, in many cases, the manual detection method has many shortcomings. For example, people cannot enter the pipeline with a small diameter, and the damage in it cannot be found; Many maintenance personnel pose a great security threat; manual detection is slow, inefficient, and requires a lot of manpower, etc. With the continuous strengthening of drainage pipeline maintenance, it is important to study a robot system that can automatically detect drainage pipeline failures, no matter from the perspective of automation and standardization of de...

AI Technical Summary

Problems solved by technology

However, in many cases, there are many shortcomings in the manual detection method. For example, people cannot enter the pipeline with a small diameter, and the damage in it cannot be found; Maintenance personnel pose a great security threat; manual detection is slow, inefficient, and requires a lot of manpower, etc.

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